Page 8 of 8~120 min topic

Agents in code

Ship and explain the bounded research agent

Page 8 packages proved vs unproved evidence so another engineer can run, trust, or reject the bounded research agent over a fixture KB.

~15 min this pageMastery and shipping

1Learn the idea

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Assemble the ship record

A shippable lab artifact includes: how to run it, the metric result (step count ≤ max; citation coverage; abstention on empty search), the failure you can still reproduce (infinite tool loop, or final answer with no citations after search), the security gate for agent inventing tools outside the registry mid-run, and a rollback note. The user decision it supports remains: search a local knowledge base then produce a cited answer within a step budget.

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Freeze the evidence

npm run typecheck
npm test

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Run the credentialed smoke test only in an approved environment:

RUN_LIVE_EVALS=1 npm run test:live


Expected evidence: **The agent searches once, cites kb://returns, and stops before MAX_AGENT_STEPS.**. Store this beside the fixture version so scores remain meaningful after content changes in `agents-in-code`.

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Explain limits without apology

State operating limits for the bounded research agent in plain language: fixture size, offline vs live dependencies, and what would require a new eval set. Shipping agents-in-code is honest scoping, not maximal confidence language.

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Lab notebook: proved vs unproved

Fill this table in your notes for the bounded research agent:

  • Proved on fixture KB with 4 notes + max_steps=3: …
  • Unproved beyond the fixture: …
  • Metric that blocks release: step count ≤ max; citation coverage; abstention on empty search
  • Failure still reproducible: infinite tool loop, or final answer with no citations after search
  • Security gate: agent inventing tools outside the registry mid-run
  • Rollback: …

Ship the narrative only when the unproved list is honest. Reviewers trust narrow claims that support search a local knowledge base then produce a cited answer within a step budget more than maximal language that collapses under the first production oddity.

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Worked judgment

Hand your ship note to a peer and ask them to recreate a proved/unproved ship note with rollback without watching you type. If they cannot, your evidence is still tribal knowledge. Tighten the run command and the metric line until a stranger can validate the bounded research agent against fixture KB with 4 notes + max_steps=3.

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Why this stage matters for the bounded research agent

At the mastery and shipping stage for agents-in-code, the job is narrower than finishing a product demo. You are creating one progressive evidence piece about fixture KB with 4 notes + max_steps=3 that later pages inherit without redefining success. Keep that fixture small enough to inspect by hand, keep outputs copy-pasteable as text, and refuse to narrate this baseline as if it were a production SLA: single-shot LLM answer without search.

For this page specifically, success looks like a proved/unproved ship note with rollback while still centering the user decision to search a local knowledge base then produce a cited answer within a step budget. If you cannot point to a file, command, or assertion that proves that for the bounded research agent, stay on this page instead of advancing.

Glossary: tool · Glossary: structured output · Cheatsheet: production ops signals

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Before you start

Why this matters

List two things this chapter proved on the fixture and two things it did not prove about the bounded research agent. If you cannot name the gaps, you are not ready to ship the narrative—even if the code runs.

In the wild

See how this idea shows up as a product and a company — then come back to the lesson. Skills transfer across vendors.

Check your understanding

Page assessment

Answer from memory. Completion is saved from this evidence, not from opening the next page.

1. Are proved and unproved lists both non-empty?
2. Is rollback concrete (command or version pin)?
3. Would a stranger reproduce the metric on the fixture?
4. Does the note still center the decision: search a local knowledge base then produce a cited answer within a step budget?

All responses are required.